Triple
T24419389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neptune VII |
E615681
|
entity |
| Predicate | hasNoSignificantAtmosphere |
P72710
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Neptune VII, hasNoSignificantAtmosphere, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoSignificantAtmosphere Context triple: [Neptune VII, hasNoSignificantAtmosphere, true]
-
A.
hasNoAtmosphere
chosen
Indicates that the subject lacks a surrounding gaseous envelope or atmosphere.
-
B.
hasExtendedAtmosphere
Indicates that an entity possesses an atmosphere that extends unusually far from its surface or primary body, beyond what is considered typical or compact.
-
C.
usesAtmosphereOf
Indicates that one entity makes use of or operates within the atmospheric conditions or composition associated with another entity.
-
D.
hasAtmosphere
Indicates that an astronomical body possesses a surrounding layer of gases held by its gravity.
-
E.
hasAtmosphericFeature
Indicates that one entity possesses or exhibits a particular feature or characteristic of its atmosphere.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a12a50819099fcdbc7096b53dd |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:13 a.m.